Tag: pandas

coding in data science and analytics

Beautiful Soup Tutorial 4. – Saving Scraped Data to a CSV File, then Analyzing it with Pandas

This is the final part of the Beautiful Soup tutorial series. Just to remind you, here’s what you’ve done so far: in episode #1 you learnt the basics…

Coding in Data Science and Analytics

Data Cleaning and Exploratory Data Analysis Using the OkCupid Dataset (Part 1)

This article is about dating and data science! Please welcome our guest author, Amy Birdee, who has done multiple data science hobby projects recently and built a truly…

coding in data science and analytics

Pandas tutorial 5: Scatter plot with pandas and matplotlib

Scatter plots are frequently used in data science and machine learning projects. In this pandas tutorial, I’ll show you two simple methods to plot one. Both solutions will…

coding in data science and analytics

How to Run a Python Script (Step by Step Tutorial, with Example)

In this tutorial, you’ll learn how to run a Python script. And it’s quite essential. When working on data science projects, you’ll write Python code all the time……

coding in data science and analytics

Pandas Tutorial 3: Important Data Formatting Methods (merge, sort, reset_index, fillna)

This is the third episode of my pandas tutorial series. In this one I’ll show you four data formatting methods that you might use a lot in data…

coding in data science and analytics

Pandas Tutorial 2: Aggregation and Grouping

Let’s continue with the pandas tutorial series. This is the second episode, where I’ll introduce aggregation (such as min, max, sum, count, etc.) and grouping. Both are very…

coding in data science and analytics

Pandas Tutorial 1: Pandas Basics (Reading Data Files, DataFrames, Data Selection)

Pandas is one of the most popular Python libraries for Data Science and Analytics. I like to say it’s the “SQL of Python.” Why? Because pandas helps you…